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ICBDDITS 2021: 15. International Conference on Big Data Driven Intelligent Transportation Systems

时间：2021-01-28 至 2021-01-29

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ICBDDITS 2021: 15. International Conference on Big Data Driven Intelligent Transportation Systems
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ICBDDITS 2021: 15. International Conference on Big Data Driven Intelligent Transportation Systems
会议时间：2021-01-28 至 2021-01-29
会议地点： New York, United States,Ottawa,Canada 周边酒店预订

发票类型： 不支持开票
参会凭证：其它

门票信息
Participation Type Early Registration Fees Registration Fees
Non-Student Oral/Poster Presenter Registration € 450 € 500
Student Oral/Poster Presenter Registration € 350 € 400
Listener Registration € 250 € 300
Additional Paper Publication € 100
会议介绍

The International Research Conference Aims and Objectives

The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations. With its high quality, it provides an exceptional value for students, academics and industry researchers.

ICBDDITS 2021: 15. International Conference on Big Data Driven Intelligent Transportation Systems aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Big Data Driven Intelligent Transportation Systems. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Big Data Driven Intelligent Transportation Systems

Call for Contributions

Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Big Data Driven Intelligent Transportation Systems are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.

Guidelines for Authors

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission Guideline, Abstract Submission Guideline and Author Information before submitting your paper.

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICBDDITS 2021 has teamed up with the Special Journal Issue on Big Data Driven Intelligent Transportation Systems. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Application Forms

Selected Papers

  1. Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles
    Syed Iftikhar Hussain Shah, Vasilis Peristeras, Ioannis Magnisalis
  2. AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
    Suelane Garcia Fontes, Silvio Luiz Stanzani, Pedro L. Pizzigatti Corrła Ronaldo G. Morato
  3. Spatial Data Science for Data Driven Urban Planning: The Youth Economic Discomfort Index for Rome
    Iacopo Testi, Diego Pajarito, Nicoletta Roberto, Carmen Greco
  4. Association Rules Mining and NOSQL Oriented Document in Big Data
    Sarra Senhadji, Imene Benzeguimi, Zohra Yagoub
  5. Reduction of Energy Consumption Using Smart Home Techniques in the Household Sector
    Ahmed Al-Adaileh, Souheil Khaddaj
  6. Estimating the Traffic Impacts of Green Light Optimal Speed Advisory Systems Using Microsimulation
    C. B. Masera, M. Imprialou, L. Budd, C. Morton
  7. Microclimate Variations in Rio de Janeiro Related to Massive Public Transportation
    Marco E. O. Jardim, Frederico A. M. Souza, Valeria M. Bastos, Myrian C. A. Costa, Nelson F. F. Ebecken
  8. Predictive Analysis for Big Data: Extension of Classification and Regression Trees Algorithm
    Ameur Abdelkader, Abed Bouarfa Hafida
  9. Automatic Adjustment of Thresholds via Closed-Loop Feedback Mechanism for Solder Paste Inspection
    Chia-Chen Wei, Pack Hsieh, Jeffrey Chen
  10. Cognition of Driving Context for Driving Assistance
    Manolo Dulva Hina, Clement Thierry, Assia Soukane, Amar Ramdane-Cherif
  11. Real-Time Data Stream Partitioning over a Sliding Window in Real-Time Spatial Big Data
    Sana Hamdi, Emna Bouazizi, Sami Faiz
  12. Building a Scalable Telemetry Based Multiclass Predictive Maintenance Model in R
    Jaya Mathew
  13. Procedure Model for Data-Driven Decision Support Regarding the Integration of Renewable Energies into Industrial Energy Management
    M. Graus, K. Westhoff, X. Xu
  14. Integration of Big Data to Predict Transportation for Smart Cities
    Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
  15. Urban Big Data: An Experimental Approach to Building-Value Estimation Using Web-Based Data
    Sun-Young Jang, Sung-Ah Kim, Dongyoun Shin
Himanshu Joshi Icahn School of Medicine at Mount Sinai, US
Nagdev Amruthnath Western Michigan University, US
Sergio Davalos University of Washington Tacoma, US
Marie Louis Regis University, US
Thuan Nguyen School of Management - University of Texas at Dallas, US
Shanshan Tuo xAd Inc, US
Yizhen Liu Research Institue of Huawei at U.S., US
Mohammed Korayem CareerBuilder, LLC., US
Prudhvi Janga University of Cincinnati, US
Jia Hu Philips Research North America, US
Sugam Sharma Iowa State University, US
Asha K. St. Thomas College, IN
Vijay Anant Athavale Panipat Institute of Engineering and Technology, IN
Kalaiselvee Rethinam University Sains Malaysia, MY
Mahmoud Al-Khasawneh Al-Madinah International University, MY
V. A. Sankar Ponnapalli Sreyas Institute of Engineering and Technology, IN
Bartosz Kazmierczak Poznan University of Technology, PL
Suriakala M. Government Arts College for Men, IN
Mohcine Kodad University Mohammed First, MA
Md Tabrez Nafis Jamia Hamdard University, IN
Hana Rabbouch University of Sousse, TN
Rakhi Mathur Mewar University Rajasthan, IN
Gowrishankar S Dr.Ambedkar Institute of Technology, IN
Layth Alrawi Çankaya University, TR
Anoopkumar Muttathil Kerala Technological University, IN
Nagesh Vadaparthi MVGR College of Engineering, IN
S Zahoor Ul Huq G. Pulla Reddy Engineering, IN
Ayodele Faiyetole Federal University of Technology Akure, NG
Anandan R Vels Institute of Science, Technology and Advanced Studies, IN
Mohamed Enaba Cairo University, EG
会议日程
Abstracts/Full-Text Paper Submission Deadline   December 15, 2020
Notification of Acceptance/Rejection   December 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 26, 2020
Conference Dates   January 28-29, 2021
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